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Paul, Michael J Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Paul develops methods for analyzing and understanding data. His background is in machine learning, statistical modeling and natural language processing, which he uses to solve problems in health informatics and epidemiology, using new and transformative sources of data. For example, his research has shown how to analyze social media to monitor disease outbreaks and track trends in population health.

keywords

  • machine learning, natural language processing, statistical modeling, data mining, text mining, text analysis, social media analysis, sentiment analysis, computational social science, computational epidemiology, health informatics, medical informatics, digital humanities

Publications

selected publications

Teaching

courses taught

  • CSCI 5900 Master's Level Independent Study (Spring 2019)
  • CSCI 6950 Master's Thesis (Spring 2019)
  • CSCI 8990 Doctoral Dissertation (Spring 2019)
  • CSCI 5900 Master's Level Independent Study (Fall 2018)
  • CSCI 6950 Master's Thesis (Fall 2018)
  • CSCI 8990 Doctoral Dissertation (Fall 2018)
  • CSCI 8990 Doctoral Dissertation (Summer 2018)
  • INFO 6950 Master's Thesis (Summer 2018)
  • CSCI 5900 Master's Level Independent Study (Spring 2018)
  • CSCI 6950 Master's Thesis (Spring 2018)
  • CSCI 8990 Doctoral Dissertation (Spring 2018)
  • INFO 2301 Quantitative Reasoning for Information Science (Spring 2018)
  • INFO 8991 Dissertation (Spring 2018)

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

Other Profiles

Github

  • michaeljpaul